| Presentation | 2010-01-22 Low-Complexity Cyclostationarity Feature Detection Scheme of Localized SC-FDMA Uplink System for Application to Detect and Avoid Wensheng ZHANG, Yukitoshi SANADA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a low-complexity cyclostationarity feature detection scheme for detect and avoid (DAA) of Ultra-Wideband (UWB) systems. The proposed method is suitable for the detection of a localized Single-carrier Frequency Division Multiple Access (SC-FDMA) signal that is used in the uplink of Long Term Evolution-Advanced (LTE-Advanced) system. The detection of the uplink signal is critical to judge that the target frequency band is accessible to UWB systems. Compared with conventional cyclostationarity feature detection, the proposed scheme requires low computational complexity at the cost of slight reduction in detection performance. Simulation results indicate that the proposed scheme makes a tradeoff between detection performance and computational complexity. The low-complexity cyclostationarity feature detection also provides a substitute for the energy detection since the later approach can not work well in a bad transmission environment. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Detect and Avoid (DAA) / Low-Complexity Cyclostationarity Feature Detection / Localized SC-FDMA |
| Paper # | SR2009-85 |
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| Conference Information | |
| Committee | SR |
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| Conference Date | 2010/1/14(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Software Radio(SR) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Low-Complexity Cyclostationarity Feature Detection Scheme of Localized SC-FDMA Uplink System for Application to Detect and Avoid |
| Sub Title (in English) | |
| Keyword(1) | Detect and Avoid (DAA) |
| Keyword(2) | Low-Complexity Cyclostationarity Feature Detection |
| Keyword(3) | Localized SC-FDMA |
| 1st Author's Name | Wensheng ZHANG |
| 1st Author's Affiliation | Dept. of Electronics and Electrical Engineering, Keio University() |
| 2nd Author's Name | Yukitoshi SANADA |
| 2nd Author's Affiliation | Dept. of Electronics and Electrical Engineering, Keio University |
| Date | 2010-01-22 |
| Paper # | SR2009-85 |
| Volume (vol) | vol.109 |
| Number (no) | 383 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |